OmicsUnivariateStats: A Random distributions Function to perform univariate...

In MSeidelFed/RandodiStats_package: Random distributions and their univariate and multivariate statistics

A Random distributions Function to perform univariate statistical inference

Description

This function allows you to test response variables using a generalized linear model with one or two factors and multiple levels per factor, i.e., multiple regressors, customizing the family of regression for each test according to the response variable distribution.

Usage

OmicsUnivariateStats(
  class_comparison_mat = abs(RandoDiStats::distribution_test_mat()),
  Factor1,
  Factor2 = NULL,
  Contrast = F,
  TukeyReturns = c("MeanComparisons", "Letters"),
  ReturnTukeyPlots = T,
  TukeyPDFName = "test",
  marginsTukey = c(6, 12, 3, 3),
  returnObject = c("OmicsTests", "class_comparison_mat")
)

Arguments

class_comparison_mat	Defaults to distribution_test_mat().
Factor2	defaults to NULL.
Contrast	defaults to TRUE.
TukeyReturns	Tukey HSD can return either "MeanComparisons" or "Letters".
ReturnTukeyPlots	defaults to TRUE, returns a PDF with the plots.
TukeyPDFName	defaults to "test".
marginsTukey	margins of the Tukey HSD plots
returnObject	returns either the results from the "OmicsTests" or the cropped tested "class_comparison_mat"
Factor1.	Needs to be defined

Examples

Factor1_eg <- as.factor(c(rep("RED", 200), rep("GREEN", 200), rep("BLACK", 200),rep("WHITE", 200), rep("YELLOW", 200)))
test_OUS <- OmicsUnivariateStats(Factor1 = Factor1_eg)
...

MSeidelFed/RandodiStats_package documentation built on July 31, 2022, 3 a.m.